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GSrin4
Novice
316 Views

OpenVino IR representation generation fails

Trying to convert YOLOv3 model definde in Keras. I have frozen the session as frozen_graph.pb in text format (so that I can edit the input shapes). When I try the IR generation using mo_tf.py script part of openvino tools. I am getting the following errors.

[ ERROR ] List of operations that cannot be converted to Inference Engine IR: [ ERROR ] Min (3) [ ERROR ] Min [ ERROR ] Min_1 [ ERROR ] Min_2 [ ERROR ] Where (6) [ ERROR ] boolean_mask/Where [ ERROR ] boolean_mask_1/Where [ ERROR ] boolean_mask_2/Where [ ERROR ] boolean_mask_3/Where [ ERROR ] boolean_mask_4/Where [ ERROR ] boolean_mask_5/Where [ ERROR ] Round (3) [ ERROR ] Round [ ERROR ] Round_1 [ ERROR ] Round_2 [ ERROR ] NonMaxSuppressionV2 (3) [ ERROR ] non_max_suppression/NonMaxSuppressionV2 [ ERROR ] non_max_suppression_1/NonMaxSuppressionV2 [ ERROR ] non_max_suppression_2/NonMaxSuppressionV2 [ ERROR ] Part of the nodes was not converted to IR. Stopped.

Details of OpenVino version: 2019.3.0-375-g332562022

Any suggestions/references would be much appreciated.

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4 Replies
David_C_Intel
Employee
98 Views

Hi GSrin4,

 

Thank you for contacting Intel Customer Support, my name is David, I am glad to assist you.

I see you are having trouble with the IR generation. Could you please provide the following information:

 

  • What was the model optimizer command used to convert to IR format?
  • Is it a pre-trained model or a custom model?
  • Could you provide the orignal model?

 

Regards,

 

David C.

Intel Customer Support Technician

A Contingent Worker at Intel

GSrin4
Novice
98 Views

Hi David,

 

Thank you for the reply.

 

Please find my comments for the query.

 

  1. model optimizer command: python mo_tf.py --input_model_is_text --input_model frozen_graph.pb. (Input shape has been updated in the .pb file)
  2. It's custom model.
  3. Original model in the sense? I used this github repo: https://github.com/qqwweee/keras-yolo3
  4. If you need the .h5 weight file, I can attach that. (The output of training is .h5 file in this case)

 

Hope it helps,

Gunasekaran

David_C_Intel
Employee
98 Views

Hi GSrin4,

 

Thank you for the information given.

It seems there is a flag missing: --tensorflow_use_custom_operations_config "yolo_v3.json".

You can check the documentation on how to convert YOLO models to IR here. As you are using a custom model, you will need to modify the "yolo_v3.json" file to match your model.

 

I hope this will help you. If you are still experiencing some errors, you can send me your ".pb" file, so we can manage to replicate your issue and get to a solution.

 

Regards,

 

David C.

Intel Customer Support Technician

A Contingent Worker at Intel

David_C_Intel
Employee
98 Views

Hi GSrin4,

 

I am contacting you to give a follow up on this case. Could you please tell me if the issue is solved?

 

I will help you further to any other questions you may have.

 

Regards,

 

David C.

Intel Customer Support Technician

A Contingent Worker at Intel

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